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Machine Learning For Absolute Beginners

Machine learning is changing the way we design and use our technology. It has slowly spread it’s reach through our devices, from self-driving cars to even automated chatbots. To define machine learnin...

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Course Description

Machine learning is changing the way we design and use our technology. It has slowly spread it’s reach through our devices, from self-driving cars to even automated chatbots. To define machine learning in the simplest terms, it is basically the ability to equip computers to think for themselves based on the scenarios that occur. This is the basis of artificial intelligence. With machine learnin...

Machine learning is changing the way we design and use our technology. It has slowly spread it’s reach through our devices, from self-driving cars to even automated chatbots. To define machine learning in the simplest terms, it is basically the ability to equip computers to think for themselves based on the scenarios that occur. This is the basis of artificial intelligence. With machine learning as the future of technology, getting your hands on this type of development is crucial. However, it isn’t easy. Machine learning is a complex concept that uses algorithms to design coding that will help the computers decipher a lot of data. This is why we have designed this course. If you are interested in mastering machine learning using a simple and easy approach, then this course is for you!

What you’ll learn
  • What is machine learning
  • Breakdown of important concepts required in machine learning
  • Different types of machine learning
  • Detailed analysis of the different types of machine learning such as unsupervised learning, supervised learning, reinforcement learning, neural networks, and so on
  • How to integrate the algorithms in actual Python Projects
  • Quizzes at the end of each unit to help evaluate your learning
  • If you want and easy introduction into machine learning, then this course has got you covered. It has been designed to help newbies understand exactly what is machine learning and how to get started with machine learning.

Covering Topics

1
Section 1 : An Introduction to Machine Learning
2
Section 2 : Supervised Learning - Part 1
3
Section 3 : Unsupervised Learning
4
Section 4 : Neural Networks
5
Section 5 : Real World Machine Learning
6
Section 6 : Final Project

Curriculum

      Section 1 : An Introduction to Machine Learning
1
Introduction Preview
2
What is Machine Learning
3
Types and Applications of ML
4
AI vs ML
5
Essential Math for ML and AI
      Section 2 : Supervised Learning - Part 1
6
Introduction to Supervised Learning
7
Linear Methods for Classification Preview
8
Linear Methods for Regression
9
Support Vector Machines
10
Basis Expansions
11
Model Selection Procedures
12
Bonus! Supervised Learning Project in Python Part 1
13
Bonus! Supervised Learning Project in Python Part 2
      Section 3 : Unsupervised Learning
14
Introduction to Unsupervised Learning
15
Association Rules Preview
16
Cluster Analysis
17
Reinforcement Learning
18
Bonus! KMeans Clustering Project
      Section 4 : Neural Networks
19
Introduction to Neural Networks
20
The Perceptron
21
The Backpropagation Algorithm
22
Training Procedures Preview
23
Convolutional Neural Networks
      Section 5 : Real World Machine Learning
24
Introduction to Real World ML
25
Choosing an Algorithm
26
Design and Analysis of ML Experiments
27
Common Software for ML
      Section 6 : Final Project
28
Setting up OpenAI Gym
29
Building and Training the Network Part 1
30
Building and Training the Network Part 2

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